Evidence map›Paper›PMID 36944880›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Quantitative Measurements of Biochemical and Molecular Markers of Oxidative Stress Signaling and Responses.

Graham Noctor, Mathias Cohen, Lug Trémulot, Frank Van Breusegem, Amna Mhamdi

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Transcriptomic and proteomic analyses ofFrontiers in microbiology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Graham NoctorUniversité Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Gif sur Yvette, France. graham.noctor@u-psud.fr.ORCID 0000-0003-1980-4554
Mathias CohenUniversité Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Gif sur Yvette, France.
Lug TrémulotUniversité Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Gif sur Yvette, France.
Frank Van BreusegemDepartment of Plant Biotechnology and Bioinformatics, VIB, 9052, Ghent, Belgium.
Amna MhamdiDepartment of Plant Biotechnology and Bioinformatics, VIB, 9052, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increases in cellular oxidation are a part of most plant responses to challenging conditions and are commonly described as oxidative stress. While this phenomenon is closely related to the accumulation of reactive oxygen species, these latter compounds can be difficult to measure. Complementary measurements to assess cellular redox state are, therefore, very useful in studies of plant responses to stress. Here, we detail protocols for three complementary approaches that can be used to assess the intensity of oxidative stress. These involve quantification of marker transcripts, assays of the extractable activities of major antioxidative enzymes, and measurement of antioxidant buffers. We confirm experimentally that the data obtained by such approaches can provide reliable information on the intensity of oxidative stress.

Indexed as

AntioxidantsGlutathioneAscorbic AcidOxidation-ReductionOxidative StressPlantsReactive Oxygen SpeciesSuperoxide DismutaseAntioxidantsAscorbic AcidGlutathioneReactive Oxygen SpeciesSuperoxide DismutaseAntioxidantsAscorbateAscorbate peroxidaseCatalaseDehydroascorbate reductaseGlutathioneGlutathione reductaseMarker transcriptRedox stateUDP glycosyl transferase

Identifiers

PMID36944880

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.